This is the "advance access" version of an article accepted for publication in Bioinformatics Journal following peer review. The version of record doi: 10.1093/bioinformatics/btw013 will be available online at: http://http://bioinformatics.oxfordjournals.org/
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Abstract :
[en] Motivation: Collaborative analysis of massive imaging datasets is essential to enable scientific
discoveries.
Results: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share, and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications.
Availability: Cytomine (http://www.cytomine.be/) is freely available under an open-source license
from http://github.com/cytomine/. A documentation wiki (http://doc.cytomine.be) and a demo server (http://demo.cytomine.be) are also available.
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